This markdown/html summarises a set of outer fold models primarily using the nested_rocs function in ../../3_Plotting_and_summary_scripts/plotting_scripts.r. This outputs ROC curves and a table of summaries for all aggregated outer folds.

Load data and libraries ↴    
load("/media/gcpeac/R4RA_machine_learning/Data/curated_input.rdata")
source("../../3_Plotting_and_summary_scripts/plotting_scripts.r")
library(ggplot2)
library(kableExtra)
library(plotROC)
library(pROC)
library(caret)
library(ggpubr)
library(DT)
library(tidyr)
library(dplyr)

knitr::opts_chunk$set(fig.width=12, fig.height=7, warning = FALSE)
Set up datatable download ↴    
df = rbind(t(data.frame(table(response_df$CDAI50_toc_resp)))[2, ], 
           t(data.frame(table(response_df$CDAI50_rtx_resp)))[2, ], 
           t(data.frame(table(response_df$CDAI50_any_resp)))[2, ])
dimnames(df) = list(c("Tocilizumab", "Rituximab", "Any"), 
                    c("Non-Responder", "Responder"))

# Init Step to make sure that the dependencies are loaded
htmltools::tagList(DT::datatable(df, filter="top", width=900, height = "100%", 
                                 options=list(pageLength=3, lengthChange=FALSE)))
Load in the models ↴    
files = list.files("/media/lvm1/R4RA_ML_outputs", 
                   pattern="all", full.names = T, recursive = T)
files = files[! grepl("clin_hist", files)]
files = files[! grepl("8781", files)] # can ignore since these converge to the same model
files = files[! grepl("visit7", files)]

l = length(strsplit(files[1],"/")[[1]])

for(x in files) {
  k = gsub(".*_", "", strsplit(x,"/")[[1]][l-1])
  n = gsub(".*_", "", strsplit(x,"/")[[1]][l-2])
  load(x)
  obj = ls(pattern="t_exp")
  for(y in obj){ 
    out = get(y)
    invisible(lapply(1:length(out), function(z) out[[z]]$file <<- x))
    assign(x=paste0(gsub("t_exp", "x_exp", y), "_", k, "_", n), out) 
  }
  rm(list=obj)
}

data=ls(pattern="x_exp")

t_nested = lapply(data, get)

for(x in 1:length(t_nested)) {
  for(j in 1:length(t_nested[[x]])){
    if(class(t_nested[[x]][[j]]) != "try-error"){
      t_nested[[x]][[j]]$type = t_nested[[x]][[j]]$filtering
      t_nested[[x]][[j]]$info = data[x]
    }
  }
}


t_nested = unlist(t_nested, recursive=F)
paste("Removing", length(which(unlist(lapply(t_nested, class)) == "try-error")), "models which failed")
## [1] "Removing 0 models which failed"
t_nested = t_nested[unlist(lapply(t_nested, class)) != "try-error"]
names(t_nested) <- unlist(lapply(1:length(t_nested), function(x){
  type <- t_nested[[x]]$info
  gsub("\\.rdata", "", paste0(t_nested[[x]]$models[[1]]$metric, "_", type))
}))
names(t_nested)[grepl("^_x_", names(t_nested))]=paste0("CDAI50_toc_resp", names(t_nested)[grepl("^_x_", names(t_nested))])

l= length(unlist(strsplit(names(t_nested)[1], "_")))

input_vals = unique(unlist(lapply(names(t_nested), function(x) unlist(strsplit( x, "_"))[l])))
k_vals = unique(unlist(lapply(names(t_nested), function(x) unlist(strsplit(x, "_"))[l-1])))
filt_vals = unique(unlist(lapply(names(t_nested), function(x) unlist(strsplit(x, "_"))[l-3])))
drugs = unique(unlist(lapply(names(t_nested), function(x) unlist(strsplit(x, "_"))[2])))

remove(list = ls(pattern="x_exp"))
gc(verbose=F)
##              used    (Mb) gc trigger    (Mb)   max used    (Mb)
## Ncells   49213115  2628.3   83461042  4457.4   50540178  2699.2
## Vcells 3630972825 27702.2 5358482710 40882.0 3728764569 28448.3

Overall

df_all = list()

for(inp in input_vals){
  cat("\n\n## No features:", inp, "{.tabset .tabset-fade}" )
  for(drug in drugs){
    name = c("toc"="Tocilizumab", "rtx"="Rituximab", "any"="Refractory")[drug]
    cat("\n\n### ", name, "{.tabset .tabset-fade}" )
    for(filt in filt_vals){
      cat("\n\n\n#### ", filt, "filtering {.tabset .tabset-fade}" )
      k_use = names(t_nested[unlist(lapply(names(t_nested), function(x) unlist(strsplit(x, "_"))[l])) == inp])
      k_use = k_use[grepl(filt, k_use)]
      k_use = k_use[grepl(inp, k_use)]
      k_use = unique(gsub(".*_", "", gsub(paste0("_", inp), "", k_use)))
      for(k_in in k_use){
        cat("\n\n\n##### k=", k_in, "##\n" )
        o = try(nested_rocs(t_nested[unlist(lapply(names(t_nested), function(x) unlist(strsplit(x, "_"))[l])) == inp],
                            metric="CDAI50",  drug=drug, filtering = filt, k=as.numeric(k_in)))
        
        if(class(o) != "try-error"){
          
          o2 = o$stats_df[, ! colnames(o$stats_df) %in% c("Left-out Stats", "Overall Stats")]
          
          o2$Stat = gsub('[[:digit:]]+', '', rownames(o2))
          o2$Stat[o2$Stat == "F"] = "F1"
          
          o2 = o2 %>%
            gather(key = "Set", value = "value", "Test Stats") %>% #, "Left-out Stats", "Overall Stats" ) %>%
            mutate(filtering = unlist(lapply(strsplit(as.character(model), "_"), "[[", l-3)),
                   drug = unlist(lapply(strsplit(as.character(model), "_"), "[[", 2)),
                   model = unlist(lapply(strsplit(as.character(model), "_"), "[[", l-2)))
          
          o3 = o2 %>% group_split(Stat)
          names(o3) = levels(factor(o2$Stat))
          
          o4 = do.call(cbind, o3)
          o4 = o4[, ! grepl("model|Stat|Set|filtering|drug|file", colnames(o4))]
          o4 = cbind(o3[[1]][, c("model","Set",  "filtering", "drug", "file")], o4)
          colnames(o4) = gsub("\\.value", "", colnames(o4))
          
          o4$target_k = k_in
          o4$n_input = inp
          o4 = unique(o4)
          o4 = o4[order(o4$AUC, decreasing = T), ]
          
          temp = o$roc_df[o$roc_df$eval == "test", ]
          temp = temp[! duplicated(temp$model), ]
          
          o4$AUC_roc = temp$auc[match(o4$model, temp$model)]
          
          
          print(htmltools::tagList(
            DT::datatable(o4[, c('model', 'Set', 'filtering', 'drug', 'Accuracy',
                                 'AUC', 'AUC_roc', 'Balanced Accuracy', 'F1', 'Kappa',
                                 'McnemarPValue', 'Precision', 'Prevalence',
                                 'Recall', 'Sensitivity', 'Specificity', 
                                 'Youden_sensitivity', 'Youden_specificity')],
                          filter="top", width=1500, rownames = FALSE,
                          options=list(scrollX=T, pageLength=12,
                                       searchCols = list(NULL, list(search = 'Test Stats'),
                                                         rep(NULL, 13)))) %>%
              formatRound(columns=c('Accuracy', 'AUC','AUC_roc', 'Balanced Accuracy', 'F1', 'Kappa',
                                    'McnemarPValue', 'Precision', 'Prevalence',
                                    'Recall', 'Sensitivity', 'Specificity', 
                                    'Youden_sensitivity', 'Youden_specificity'), digits=3)
          ))
          
          print(o$combined)
          
          o4 = o4[, c('model', 'Set', 'filtering', 'drug', 'Accuracy',
                      "target_k", "final_k", "mean_inner_k", "n_input",
                      'AUC','AUC_roc', 'Balanced Accuracy', 'F1', 'Kappa',
                      'McnemarPValue', 'Precision', 'Prevalence',
                      'Recall', 'Sensitivity', 'Specificity', 
                      'Youden_sensitivity', 'Youden_specificity', 'file')]
          
          
          
          df_all[[length(df_all)+1]] = o4
        }
        
        cat("\n\n" )
      }
      cat("\n\n" )
    }
    cat("\n\n" )
  }
  cat("\n\n" )
}

No features: 1438

Tocilizumab

none filtering

k= 25

k= 30

k= 50

rfe filtering

k= 25

k= 30

k= 50

uni filtering

k= 50

k= 25

k= 30

Rituximab

none filtering

k= 25

k= 30

k= 50

rfe filtering

k= 25

k= 30

k= 50

uni filtering

k= 50

k= 25

k= 30

Refractory

none filtering

k= 25

k= 30

k= 50

rfe filtering

k= 25

k= 30

k= 50

uni filtering

k= 50

k= 25

k= 30

No features: 2628

Tocilizumab

none filtering

rfe filtering

k= 100

k= 50

uni filtering

k= 100

Error in data.frame(D = test_set\(observed, M1 = test_set\)R, Predicted = test_set$predicted, : arguments imply differing number of rows: 0, 1

k= 25

k= 50

Rituximab

none filtering

rfe filtering

k= 100

k= 50

uni filtering

k= 100

k= 25

k= 50

Refractory

none filtering

rfe filtering

k= 100

k= 50

uni filtering

k= 100

k= 25

k= 50

df = do.call(rbind, df_all)

Best models

#save(df, file="/media/gcpeac/R4RA_machine_learning/Data/all_model_summaries2.rdata")
df2 = df[df$Set == "Test Stats", ]
df2 = df2[order(df2$AUC, decreasing=T), ]

kable(df2[! duplicated(paste(df2$drug, df2$filtering)), ], row.names = F) %>% 
  kable_styling()
model Set filtering drug Accuracy target_k final_k mean_inner_k n_input AUC AUC_roc Balanced Accuracy F1 Kappa McnemarPValue Precision Prevalence Recall Sensitivity Specificity Youden_sensitivity Youden_specificity file
glmnet Test Stats rfe any 0.732142857142857 50 50: 112 50 2628 0.7265625 0.7265625 0.596875 0.829545454545455 0.227941176470588 0.00616989932054415 0.760416666666667 0.714285714285714 0.9125 0.9125 0.28125 0.7875 0.59375 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_rf_10.rdata
svmRadial Test Stats uni rtx 0.651685393258427 100 101: 9, 108: 10, 109: 8, 120: 10, 123: 9, 125: 8, 146: 10, 147: 9, 171: 8, 178: 8 131.943820224719 2628 0.724598930481283 0.724598930481283 0.617112299465241 0.507936507936508 0.240990371389271 0.472497614000689 0.551724137931034 0.382022471910112 0.470588235294118 0.470588235294118 0.763636363636364 0.852941176470588 0.581818181818182 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_svmRadial_10.rdata
svmRadial Test Stats none any 0.723214285714286 30 1447: 112 1447 1438 0.70859375 0.70859375 0.590625 0.822857142857143 0.210909090909091 0.011921001496914 0.757894736842105 0.714285714285714 0.9 0.9 0.28125 0.825 0.53125 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
rf Test Stats none rtx 0.640449438202247 25 1447: 89 1447 1438 0.698663101604278 0.698663101604278 0.596791443850267 0.466666666666667 0.202687569988802 0.21592493894014 0.538461538461538 0.382022471910112 0.411764705882353 0.411764705882353 0.781818181818182 0.882352941176471 0.581818181818182 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
rf Test Stats rfe rtx 0.662921348314607 50 50: 28, 2637: 61 1823.11235955056 2628 0.693048128342246 0.693048128342246 0.643048128342246 0.558823529411765 0.286096256684492 1 0.558823529411765 0.382022471910112 0.558823529411765 0.558823529411765 0.727272727272727 0.823529411764706 0.563636363636364 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_rf_10.rdata
glmnet Test Stats uni any 0.714285714285714 25 28: 11, 32: 23, 36: 22, 40: 11, 43: 23, 60: 11, 81: 11 43 2628 0.689453125 0.689453125 0.621875 0.807228915662651 0.258278145695364 0.376759117811582 0.779069767441861 0.714285714285714 0.8375 0.8375 0.40625 0.825 0.53125 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_glmnet_10.rdata
glmnet Test Stats none toc 0.65979381443299 25 1447: 97 1447 1438 0.661125319693095 0.661125319693095 0.658354646206309 0.637362637362637 0.317047151696181 1 0.644444444444444 0.474226804123711 0.630434782608696 0.630434782608696 0.686274509803922 0.673913043478261 0.647058823529412 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_glmnet_10.rdata
svmPoly Test Stats rfe toc 0.618556701030928 25 50: 49, 1447: 48 741.298969072165 1438 0.649190110826939 0.649190110826939 0.614876385336743 0.574712643678161 0.230983501178487 0.510797798173896 0.609756097560976 0.474226804123711 0.543478260869565 0.543478260869565 0.686274509803922 0.760869565217391 0.549019607843137 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
glmnet Test Stats uni toc 0.670103092783505 30 30: 10, 34: 19, 35: 38, 36: 10, 37: 20 34.8041237113402 1438 0.638959931798807 0.638959931798807 0.666027280477408 0.627906976744186 0.334191334191334 0.376759117811582 0.675 0.474226804123711 0.58695652173913 0.58695652173913 0.745098039215686 0.58695652173913 0.745098039215686 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_glmnet_10.rdata

All models

kable(df2, row.names = F) %>% kable_styling()  %>% 
  scroll_box(height = "800px")
model Set filtering drug Accuracy target_k final_k mean_inner_k n_input AUC AUC_roc Balanced Accuracy F1 Kappa McnemarPValue Precision Prevalence Recall Sensitivity Specificity Youden_sensitivity Youden_specificity file
glmnet Test Stats rfe any 0.732142857142857 50 50: 112 50 2628 0.7265625 0.7265625 0.596875 0.829545454545455 0.227941176470588 0.00616989932054415 0.760416666666667 0.714285714285714 0.9125 0.9125 0.28125 0.7875 0.59375 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_rf_10.rdata
svmRadial Test Stats uni rtx 0.651685393258427 100 101: 9, 108: 10, 109: 8, 120: 10, 123: 9, 125: 8, 146: 10, 147: 9, 171: 8, 178: 8 131.943820224719 2628 0.724598930481283 0.724598930481283 0.617112299465241 0.507936507936508 0.240990371389271 0.472497614000689 0.551724137931034 0.382022471910112 0.470588235294118 0.470588235294118 0.763636363636364 0.852941176470588 0.581818181818182 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_svmRadial_10.rdata
svmPoly Test Stats uni rtx 0.685393258426966 50 51: 10, 52: 17, 54: 10, 57: 10, 60: 8, 64: 8, 68: 9, 75: 9, 78: 8 60.752808988764 1438 0.722994652406417 0.722994652406417 0.661229946524064 0.575757575757576 0.326122228231477 0.850106739138526 0.59375 0.382022471910112 0.558823529411765 0.558823529411765 0.763636363636364 0.764705882352941 0.618181818181818 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
svmRadial Test Stats none any 0.723214285714286 30 1447: 112 1447 1438 0.70859375 0.70859375 0.590625 0.822857142857143 0.210909090909091 0.011921001496914 0.757894736842105 0.714285714285714 0.9 0.9 0.28125 0.825 0.53125 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
svmRadial Test Stats rfe any 0.714285714285714 25 1447: 112 1447 1438 0.70546875 0.70546875 0.565625 0.820224719101124 0.157894736842105 0.00265402935948234 0.744897959183674 0.714285714285714 0.9125 0.9125 0.21875 0.7625 0.65625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
gbm Test Stats uni rtx 0.696629213483146 100 111: 10, 122: 9, 126: 9, 131: 19, 134: 9, 135: 8, 142: 8, 157: 8, 176: 9 135.876404494382 2628 0.705347593582888 0.705347593582888 0.670320855614973 0.584615384615385 0.34647810715257 0.70031137293689 0.612903225806452 0.382022471910112 0.558823529411765 0.558823529411765 0.781818181818182 0.617647058823529 0.781818181818182 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_gbm_10.rdata
svmRadial Test Stats none any 0.758928571428571 50 1447: 112 1447 1438 0.705078125 0.705078125 0.64375 0.84393063583815 0.327402135231317 0.0209213353377941 0.78494623655914 0.714285714285714 0.9125 0.9125 0.375 0.725 0.6875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
svmPoly Test Stats none any 0.714285714285714 30 1447: 112 1447 1438 0.703125 0.703125 0.546875 0.824175824175824 0.118110236220473 0.000205375736141218 0.735294117647059 0.714285714285714 0.9375 0.9375 0.15625 0.7 0.71875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
rf Test Stats rfe any 0.758928571428571 50 50: 44, 2637: 68 1620.67857142857 2628 0.7001953125 0.7001953125 0.625 0.847457627118644 0.297397769516729 0.00207556292574271 0.77319587628866 0.714285714285714 0.9375 0.9375 0.3125 0.7375 0.625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_rf_10.rdata
svmRadial Test Stats uni rtx 0.674157303370786 30 33: 10, 34: 8, 35: 9, 37: 27, 40: 9, 41: 17, 44: 9 37.8539325842697 1438 0.7 0.7 0.646524064171123 0.553846153846154 0.29806907805276 0.710346568995567 0.580645161290323 0.382022471910112 0.529411764705882 0.529411764705882 0.763636363636364 0.852941176470588 0.545454545454545 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
rf Test Stats none rtx 0.640449438202247 25 1447: 89 1447 1438 0.698663101604278 0.698663101604278 0.596791443850267 0.466666666666667 0.202687569988802 0.21592493894014 0.538461538461538 0.382022471910112 0.411764705882353 0.411764705882353 0.781818181818182 0.882352941176471 0.581818181818182 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
svmRadial Test Stats rfe any 0.732142857142857 50 50: 33, 2637: 79 1874.75892857143 2628 0.69765625 0.69765625 0.60625 0.827586206896552 0.244604316546762 0.0176220909623244 0.765957446808511 0.714285714285714 0.9 0.9 0.3125 0.6125 0.75 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_svmRadial_10.rdata
svmRadial Test Stats uni rtx 0.651685393258427 50 54: 8, 56: 9, 58: 10, 59: 18, 60: 10, 61: 8, 63: 17, 64: 9 59.6966292134831 1438 0.69572192513369 0.69572192513369 0.611497326203209 0.491803278688525 0.232118007236293 0.281198099564179 0.555555555555556 0.382022471910112 0.441176470588235 0.441176470588235 0.781818181818182 0.852941176470588 0.581818181818182 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
svmRadial Test Stats none any 0.723214285714286 25 1447: 112 1447 1438 0.69453125 0.69453125 0.58125 0.824858757062147 0.193308550185874 0.0040571360323713 0.752577319587629 0.714285714285714 0.9125 0.9125 0.25 0.7375 0.71875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
rf Test Stats rfe rtx 0.662921348314607 50 50: 28, 2637: 61 1823.11235955056 2628 0.693048128342246 0.693048128342246 0.643048128342246 0.558823529411765 0.286096256684492 1 0.558823529411765 0.382022471910112 0.558823529411765 0.558823529411765 0.727272727272727 0.823529411764706 0.563636363636364 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_rf_10.rdata
svmRadial Test Stats none rtx 0.617977528089888 25 1447: 89 1447 1438 0.69144385026738 0.69144385026738 0.561764705882353 0.392857142857143 0.132454128440367 0.0592297037272792 0.5 0.382022471910112 0.323529411764706 0.323529411764706 0.8 0.764705882352941 0.6 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
glmnet Test Stats uni any 0.714285714285714 25 28: 11, 32: 23, 36: 22, 40: 11, 43: 23, 60: 11, 81: 11 43 2628 0.689453125 0.689453125 0.621875 0.807228915662651 0.258278145695364 0.376759117811582 0.779069767441861 0.714285714285714 0.8375 0.8375 0.40625 0.825 0.53125 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_glmnet_10.rdata
glmnet Test Stats uni rtx 0.662921348314607 50 61: 9, 63: 9, 64: 10, 68: 10, 72: 8, 74: 9, 77: 8, 81: 8, 82: 18 72.1123595505618 2628 0.687165775401069 0.687165775401069 0.637433155080214 0.545454545454546 0.277988101676582 0.855132140584706 0.5625 0.382022471910112 0.529411764705882 0.529411764705882 0.745454545454545 0.823529411764706 0.527272727272727 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_glmnet_10.rdata
rf Test Stats uni rtx 0.651685393258427 25 27: 8, 31: 9, 32: 9, 37: 10, 38: 18, 46: 10, 59: 17, 95: 8 45.6179775280899 2628 0.686096256684492 0.686096256684492 0.633957219251337 0.550724637681159 0.266418505716565 1 0.542857142857143 0.382022471910112 0.558823529411765 0.558823529411765 0.709090909090909 0.764705882352941 0.6 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_rf_10.rdata
gbm Test Stats uni any 0.696428571428571 50 314: 11, 334: 11, 363: 11, 366: 11, 369: 12, 374: 11, 419: 11, 441: 12, 469: 11, 476: 11 392.723214285714 1438 0.685546875 0.685546875 0.571875 0.802325581395349 0.161971830985915 0.0592297037272792 0.75 0.714285714285714 0.8625 0.8625 0.28125 0.7625 0.5625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_gbm_10.rdata
svmPoly Test Stats none any 0.714285714285714 25 1447: 112 1447 1438 0.683203125 0.683203125 0.5375 0.826086956521739 0.0967741935483869 4.78548397437734e-05 0.730769230769231 0.714285714285714 0.95 0.95 0.125 0.7875 0.5625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
rf Test Stats uni any 0.723214285714286 30 30: 22, 31: 11, 32: 11, 34: 11, 35: 11, 38: 11, 44: 12, 49: 11, 57: 12 38.2232142857143 1438 0.6826171875 0.6826171875 0.590625 0.822857142857143 0.210909090909091 0.011921001496914 0.757894736842105 0.714285714285714 0.9 0.9 0.28125 0.7 0.65625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
svmPoly Test Stats rfe any 0.714285714285714 100 100: 33, 2637: 79 1889.49107142857 2628 0.682421875 0.682421875 0.546875 0.824175824175824 0.118110236220473 0.000205375736141218 0.735294117647059 0.714285714285714 0.9375 0.9375 0.15625 0.8625 0.4375 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_svmPoly_10.rdata
glmnet Test Stats none any 0.732142857142857 30 1447: 112 1447 1438 0.68203125 0.68203125 0.653125 0.817073170731707 0.318181818181818 0.583882420770365 0.797619047619048 0.714285714285714 0.8375 0.8375 0.46875 0.7625 0.5625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_glmnet_10.rdata
rf Test Stats uni any 0.732142857142857 50 55: 11, 58: 24, 61: 11, 63: 11, 65: 11, 69: 11, 70: 11, 75: 11, 82: 11 65.4642857142857 1438 0.677734375 0.677734375 0.615625 0.825581395348837 0.26056338028169 0.0446097180249397 0.771739130434783 0.714285714285714 0.8875 0.8875 0.34375 0.5 0.84375 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
svmPoly Test Stats uni any 0.705357142857143 30 31: 12, 38: 23, 40: 11, 43: 22, 50: 11, 51: 11, 53: 11, 60: 11 44.5178571428571 1438 0.677734375 0.677734375 0.578125 0.809248554913295 0.177935943060498 0.0367138563627041 0.752688172043011 0.714285714285714 0.875 0.875 0.28125 0.6375 0.6875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
rf Test Stats rfe any 0.741071428571429 25 50: 22, 1447: 90 1172.58928571429 1438 0.6775390625 0.6775390625 0.59375 0.837988826815642 0.228136882129278 0.000830225427744888 0.757575757575758 0.714285714285714 0.9375 0.9375 0.25 0.6375 0.6875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
gbm Test Stats uni rtx 0.651685393258427 50 55: 17, 58: 9, 70: 10, 71: 9, 74: 8, 78: 9, 87: 9, 90: 8, 101: 10 74.1910112359551 2628 0.675935828877005 0.675935828877005 0.617112299465241 0.507936507936508 0.240990371389271 0.472497614000689 0.551724137931034 0.382022471910112 0.470588235294118 0.470588235294118 0.763636363636364 0.823529411764706 0.527272727272727 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_gbm_10.rdata
rf Test Stats rfe any 0.732142857142857 50 50: 46, 1447: 66 873.232142857143 1438 0.675 0.675 0.5875 0.831460674157303 0.210526315789474 0.00191077513736444 0.755102040816326 0.714285714285714 0.925 0.925 0.25 0.85 0.4375 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
svmPoly Test Stats rfe rtx 0.674157303370786 50 50: 8, 1447: 81 1321.42696629213 1438 0.67379679144385 0.67379679144385 0.607219251336898 0.431372549019608 0.237067691398167 0.00296710589864761 0.647058823529412 0.382022471910112 0.323529411764706 0.323529411764706 0.890909090909091 0.617647058823529 0.763636363636364 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
svmPoly Test Stats uni any 0.732142857142857 100 103: 11, 110: 11, 112: 12, 116: 11, 124: 12, 129: 11, 132: 11, 135: 11, 136: 11, 150: 11 124.580357142857 2628 0.6734375 0.6734375 0.615625 0.825581395348837 0.26056338028169 0.0446097180249397 0.771739130434783 0.714285714285714 0.8875 0.8875 0.34375 0.4875 0.78125 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_svmPoly_10.rdata
glmnet Test Stats none any 0.705357142857143 25 1447: 112 1447 1438 0.673046875 0.673046875 0.56875 0.811428571428571 0.16 0.0148061091273485 0.747368421052632 0.714285714285714 0.8875 0.8875 0.25 0.8375 0.4375 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_glmnet_10.rdata
rf Test Stats none rtx 0.617977528089888 50 1447: 89 1447 1438 0.670588235294118 0.670588235294118 0.578609625668449 0.451612903225806 0.162700608743774 0.391172522810139 0.5 0.382022471910112 0.411764705882353 0.411764705882353 0.745454545454545 0.735294117647059 0.654545454545455 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
rf Test Stats none any 0.758928571428571 25 1447: 112 1447 1438 0.6703125 0.6703125 0.615625 0.849162011173184 0.281368821292776 0.00053200550513925 0.767676767676768 0.714285714285714 0.95 0.95 0.28125 0.775 0.5 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
svmRadial Test Stats rfe rtx 0.617977528089888 30 50: 28, 1447: 61 1007.49438202247 1438 0.670053475935829 0.670053475935829 0.556149732620321 0.37037037037037 0.12188044109112 0.0257818777774725 0.5 0.382022471910112 0.294117647058824 0.294117647058824 0.818181818181818 0.911764705882353 0.436363636363636 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
svmRadial Test Stats none rtx 0.629213483146067 50 1447: 89 1447 1438 0.668983957219251 0.668983957219251 0.56524064171123 0.377358490566038 0.142481751824818 0.0148061091273485 0.526315789473684 0.382022471910112 0.294117647058824 0.294117647058824 0.836363636363636 0.852941176470588 0.490909090909091 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
rf Test Stats none any 0.696428571428571 30 1447: 112 1447 1438 0.6689453125 0.6689453125 0.54375 0.808988764044944 0.105263157894737 0.00355146480770608 0.73469387755102 0.714285714285714 0.9 0.9 0.1875 0.85 0.46875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
svmRadial Test Stats rfe any 0.714285714285714 30 50: 11, 1447: 101 1309.79464285714 1438 0.66875 0.66875 0.575 0.818181818181818 0.176470588235294 0.00800994232988003 0.75 0.714285714285714 0.9 0.9 0.25 0.7125 0.625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
svmRadial Test Stats rfe rtx 0.651685393258427 50 50: 26, 2637: 63 1881.24719101124 2628 0.667914438502674 0.667914438502674 0.605882352941177 0.474576271186441 0.22303576457336 0.150762775026645 0.56 0.382022471910112 0.411764705882353 0.411764705882353 0.8 0.676470588235294 0.672727272727273 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_svmRadial_10.rdata
svmRadial Test Stats none rtx 0.595505617977528 30 1447: 89 1447 1438 0.667379679144385 0.667379679144385 0.509893048128342 0.217391304347826 0.0225747406955461 0.00046525815807105 0.416666666666667 0.382022471910112 0.147058823529412 0.147058823529412 0.872727272727273 0.735294117647059 0.636363636363636 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
svmRadial Test Stats rfe rtx 0.640449438202247 25 50: 17, 1447: 72 1180.15730337079 1438 0.666844919786096 0.666844919786096 0.596791443850267 0.466666666666667 0.202687569988802 0.21592493894014 0.538461538461538 0.382022471910112 0.411764705882353 0.411764705882353 0.781818181818182 0.764705882352941 0.581818181818182 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
svmPoly Test Stats uni rtx 0.617977528089888 100 105: 9, 107: 8, 114: 9, 116: 9, 124: 10, 131: 9, 132: 9, 139: 8, 146: 9, 161: 9 127.561797752809 2628 0.666310160427807 0.666310160427807 0.578609625668449 0.451612903225806 0.162700608743774 0.391172522810139 0.5 0.382022471910112 0.411764705882353 0.411764705882353 0.745454545454545 0.764705882352941 0.6 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_svmPoly_10.rdata
rf Test Stats none any 0.732142857142857 50 1447: 112 1447 1438 0.665625 0.665625 0.596875 0.829545454545455 0.227941176470588 0.00616989932054415 0.760416666666667 0.714285714285714 0.9125 0.9125 0.28125 0.7125 0.65625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
svmPoly Test Stats rfe any 0.732142857142857 50 50: 22, 2637: 90 2128.83928571429 2628 0.664453125 0.664453125 0.578125 0.833333333333333 0.192307692307692 0.000522575395124247 0.75 0.714285714285714 0.9375 0.9375 0.21875 0.775 0.5625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_svmPoly_10.rdata
rf Test Stats rfe rtx 0.640449438202247 50 50: 18, 1447: 71 1164.4606741573 1438 0.664171122994652 0.664171122994652 0.613636363636364 0.515151515151515 0.229853975121687 0.859683795198666 0.53125 0.382022471910112 0.5 0.5 0.727272727272727 0.5 0.8 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
svmRadial Test Stats uni rtx 0.640449438202247 50 53: 9, 58: 10, 60: 9, 68: 9, 73: 9, 78: 9, 80: 16, 83: 8, 126: 10 76.0898876404494 2628 0.664171122994652 0.664171122994652 0.608021390374332 0.5 0.221006564551423 0.595883090565178 0.533333333333333 0.382022471910112 0.470588235294118 0.470588235294118 0.745454545454545 0.705882352941177 0.636363636363636 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_svmRadial_10.rdata
rf Test Stats uni any 0.741071428571429 100 107: 12, 109: 22, 111: 11, 123: 11, 124: 11, 129: 11, 130: 12, 139: 11, 140: 11 122.035714285714 2628 0.6638671875 0.6638671875 0.621875 0.832369942196532 0.277580071174377 0.0258575804634429 0.774193548387097 0.714285714285714 0.9 0.9 0.34375 0.85 0.46875 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_rf_10.rdata
rf Test Stats rfe any 0.732142857142857 100 100: 78, 2637: 34 870.160714285714 2628 0.66328125 0.66328125 0.60625 0.827586206896552 0.244604316546762 0.0176220909623244 0.765957446808511 0.714285714285714 0.9 0.9 0.3125 0.45 0.8125 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_rf_10.rdata
svmRadial Test Stats uni rtx 0.651685393258427 25 26: 10, 28: 18, 31: 26, 35: 9, 37: 9, 38: 8, 42: 9 32.5842696629214 1438 0.662032085561497 0.662032085561497 0.605882352941177 0.474576271186441 0.22303576457336 0.150762775026645 0.56 0.382022471910112 0.411764705882353 0.411764705882353 0.8 0.558823529411765 0.745454545454545 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
glmnet Test Stats none toc 0.65979381443299 25 1447: 97 1447 1438 0.661125319693095 0.661125319693095 0.658354646206309 0.637362637362637 0.317047151696181 1 0.644444444444444 0.474226804123711 0.630434782608696 0.630434782608696 0.686274509803922 0.673913043478261 0.647058823529412 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_glmnet_10.rdata
glmnet Test Stats none any 0.625 50 1447: 112 1447 1438 0.660546875 0.660546875 0.49375 0.752941176470588 -0.013793103448276 0.164914822553301 0.711111111111111 0.714285714285714 0.8 0.8 0.1875 0.65 0.6875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_glmnet_10.rdata
rf Test Stats rfe any 0.732142857142857 30 50: 22, 1447: 90 1172.58928571429 1438 0.660546875 0.660546875 0.5875 0.831460674157303 0.210526315789474 0.00191077513736444 0.755102040816326 0.714285714285714 0.925 0.925 0.25 0.575 0.75 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
glmnet Test Stats uni rtx 0.617977528089888 50 51: 18, 53: 10, 54: 9, 56: 8, 58: 8, 59: 8, 67: 10, 68: 8, 77: 10 59.5730337078652 1438 0.659893048128342 0.659893048128342 0.578609625668449 0.451612903225806 0.162700608743774 0.391172522810139 0.5 0.382022471910112 0.411764705882353 0.411764705882353 0.745454545454545 0.705882352941177 0.636363636363636 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_glmnet_10.rdata
rf Test Stats none rtx 0.674157303370786 30 1447: 89 1447 1438 0.659358288770053 0.659358288770053 0.629679144385027 0.508474576271187 0.273162489439594 0.137394825855801 0.6 0.382022471910112 0.441176470588235 0.441176470588235 0.818181818181818 0.794117647058823 0.636363636363636 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
rf Test Stats uni rtx 0.696629213483146 30 30: 8, 32: 10, 33: 9, 35: 8, 37: 9, 41: 18, 44: 9, 54: 9, 62: 9 40.9887640449438 1438 0.659090909090909 0.659090909090909 0.675935828877005 0.597014925373134 0.353858564130143 1 0.606060606060606 0.382022471910112 0.588235294117647 0.588235294117647 0.763636363636364 0.764705882352941 0.618181818181818 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
svmPoly Test Stats none any 0.705357142857143 50 1447: 112 1447 1438 0.658203125 0.658203125 0.540625 0.81767955801105 0.101167315175098 0.000498514893575205 0.732673267326733 0.714285714285714 0.925 0.925 0.15625 0.825 0.53125 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
svmPoly Test Stats rfe any 0.714285714285714 50 50: 44, 1447: 68 898.178571428571 1438 0.658203125 0.658203125 0.565625 0.820224719101124 0.157894736842105 0.00265402935948234 0.744897959183674 0.714285714285714 0.9125 0.9125 0.21875 0.7375 0.59375 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
svmPoly Test Stats uni rtx 0.674157303370786 25 28: 9, 29: 10, 30: 9, 31: 8, 33: 17, 36: 9, 39: 9, 41: 9, 42: 9 34.1910112359551 1438 0.657754010695187 0.657754010695187 0.640909090909091 0.53968253968254 0.289958734525447 0.457614066876315 0.586206896551724 0.382022471910112 0.5 0.5 0.781818181818182 0.676470588235294 0.727272727272727 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
svmRadial Test Stats uni any 0.741071428571429 50 51: 11, 64: 11, 67: 11, 69: 12, 79: 11, 84: 11, 92: 11, 95: 11, 97: 12, 125: 11 82.3125 2628 0.657421875 0.657421875 0.6125 0.834285714285714 0.261818181818182 0.00932958471977156 0.768421052631579 0.714285714285714 0.9125 0.9125 0.3125 0.7625 0.5625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_svmRadial_10.rdata
svmPoly Test Stats rfe rtx 0.606741573033708 100 100: 9, 2637: 80 2380.44943820225 2628 0.65668449197861 0.65668449197861 0.54144385026738 0.339622641509434 0.0905109489051097 0.0179604775260788 0.473684210526316 0.382022471910112 0.264705882352941 0.264705882352941 0.818181818181818 0.676470588235294 0.709090909090909 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_svmPoly_10.rdata
svmRadial Test Stats rfe rtx 0.640449438202247 100 100: 46, 2637: 43 1325.74157303371 2628 0.655080213903743 0.655080213903743 0.602406417112299 0.483870967741935 0.211953514111788 0.376759117811582 0.535714285714286 0.382022471910112 0.441176470588235 0.441176470588235 0.763636363636364 0.617647058823529 0.690909090909091 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_svmRadial_10.rdata
svmRadial Test Stats rfe any 0.741071428571429 100 100: 34, 2637: 78 1866.83928571429 2628 0.6546875 0.6546875 0.6125 0.834285714285714 0.261818181818182 0.00932958471977156 0.768421052631579 0.714285714285714 0.9125 0.9125 0.3125 0.8625 0.46875 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_svmRadial_10.rdata
svmPoly Test Stats uni any 0.696428571428571 25 26: 11, 27: 11, 31: 23, 32: 12, 40: 11, 42: 11, 45: 11, 57: 11, 85: 11 41.4196428571429 2628 0.6546875 0.6546875 0.58125 0.8 0.179310344827586 0.122712594728169 0.755555555555556 0.714285714285714 0.85 0.85 0.3125 0.825 0.46875 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_svmPoly_10.rdata
glmnet Test Stats uni rtx 0.595505617977528 25 26: 9, 32: 9, 36: 9, 38: 16, 46: 10, 48: 18, 62: 10, 65: 8 44.0224719101124 2628 0.654545454545455 0.654545454545455 0.566042780748663 0.454545454545455 0.133585722011898 0.867632334778193 0.46875 0.382022471910112 0.441176470588235 0.441176470588235 0.690909090909091 0.852941176470588 0.472727272727273 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_glmnet_10.rdata
svmRadial Test Stats uni any 0.741071428571429 30 31: 11, 35: 12, 37: 11, 38: 11, 41: 11, 43: 11, 44: 23, 48: 11, 51: 11 41.1696428571429 1438 0.65390625 0.65390625 0.59375 0.837988826815642 0.228136882129278 0.000830225427744888 0.757575757575758 0.714285714285714 0.9375 0.9375 0.25 0.85 0.46875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
xgbLinear Test Stats uni any 0.714285714285714 100 115: 22, 123: 11, 130: 23, 133: 12, 142: 11, 145: 11, 146: 11, 157: 11 133.5625 2628 0.653515625 0.653515625 0.59375 0.813953488372093 0.211267605633803 0.0518299272179097 0.760869565217391 0.714285714285714 0.875 0.875 0.3125 0.4 0.875 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_xgbLinear_10.rdata
rf Test Stats uni any 0.723214285714286 25 25: 12, 26: 11, 30: 22, 34: 11, 42: 12, 45: 11, 51: 11, 59: 11, 61: 11 40.1785714285714 2628 0.6529296875 0.6529296875 0.61875 0.816568047337278 0.25938566552901 0.150762775026645 0.775280898876405 0.714285714285714 0.8625 0.8625 0.375 0.85 0.4375 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_rf_10.rdata
glmnet Test Stats rfe rtx 0.662921348314607 50 50: 35, 2637: 54 1619.6404494382 2628 0.651871657754011 0.651871657754011 0.609358288770053 0.464285714285714 0.234518348623853 0.0446097180249397 0.590909090909091 0.382022471910112 0.382352941176471 0.382352941176471 0.836363636363636 0.529411764705882 0.781818181818182 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_rf_10.rdata
glmnet Test Stats uni rtx 0.617977528089888 100 103: 9, 105: 9, 113: 8, 114: 9, 122: 9, 123: 9, 127: 9, 137: 19, 146: 8 122.707865168539 2628 0.649732620320856 0.649732620320856 0.572994652406417 0.433333333333333 0.152855543113102 0.229949056794214 0.5 0.382022471910112 0.382352941176471 0.382352941176471 0.763636363636364 0.676470588235294 0.6 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_glmnet_10.rdata
rf Test Stats rfe rtx 0.629213483146067 30 50: 26, 1447: 63 1038.88764044944 1438 0.649197860962567 0.649197860962567 0.582085561497326 0.440677966101695 0.172909039707125 0.163734354324592 0.52 0.382022471910112 0.382352941176471 0.382352941176471 0.781818181818182 0.794117647058823 0.618181818181818 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
svmPoly Test Stats rfe toc 0.618556701030928 25 50: 49, 1447: 48 741.298969072165 1438 0.649190110826939 0.649190110826939 0.614876385336743 0.574712643678161 0.230983501178487 0.510797798173896 0.609756097560976 0.474226804123711 0.543478260869565 0.543478260869565 0.686274509803922 0.760869565217391 0.549019607843137 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
svmRadial Test Stats uni any 0.723214285714286 50 56: 22, 59: 11, 60: 22, 63: 12, 67: 11, 68: 11, 78: 11, 80: 12 64.8214285714286 1438 0.648828125 0.648828125 0.609375 0.818713450292398 0.24390243902439 0.0724860850868464 0.769230769230769 0.714285714285714 0.875 0.875 0.34375 0.6375 0.65625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
svmRadial Test Stats rfe any 0.714285714285714 50 50: 33, 1447: 79 1035.38392857143 1438 0.6484375 0.6484375 0.584375 0.816091954022989 0.194244604316547 0.0215562667600163 0.75531914893617 0.714285714285714 0.8875 0.8875 0.28125 0.675 0.65625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
xgbLinear Test Stats uni any 0.723214285714286 50 50: 11, 52: 11, 54: 11, 55: 11, 58: 23, 66: 11, 72: 12, 79: 11, 84: 11 62.8392857142857 2628 0.647265625 0.647265625 0.609375 0.818713450292398 0.24390243902439 0.0724860850868464 0.769230769230769 0.714285714285714 0.875 0.875 0.34375 0.75 0.65625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_xgbLinear_10.rdata
svmPoly Test Stats uni rtx 0.595505617977528 30 34: 10, 35: 18, 38: 9, 39: 8, 40: 10, 41: 8, 42: 10, 43: 8, 57: 8 40.1348314606742 1438 0.646524064171123 0.646524064171123 0.566042780748663 0.454545454545455 0.133585722011898 0.867632334778193 0.46875 0.382022471910112 0.441176470588235 0.441176470588235 0.690909090909091 0.676470588235294 0.618181818181818 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
rf Test Stats uni any 0.696428571428571 25 26: 12, 28: 22, 31: 11, 34: 11, 38: 11, 40: 11, 42: 11, 45: 11, 50: 12 36.2321428571429 1438 0.644921875 0.644921875 0.571875 0.802325581395349 0.161971830985915 0.0592297037272792 0.75 0.714285714285714 0.8625 0.8625 0.28125 0.6 0.6875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
rf Test Stats rfe rtx 0.595505617977528 100 100: 44, 2637: 45 1382.75280898876 2628 0.643048128342246 0.643048128342246 0.554812834224599 0.419354838709677 0.113447703375761 0.404656761927286 0.464285714285714 0.382022471910112 0.382352941176471 0.382352941176471 0.727272727272727 0.823529411764706 0.563636363636364 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_rf_10.rdata
rf Test Stats rfe rtx 0.651685393258427 25 50: 36, 1447: 53 881.921348314607 1438 0.639839572192513 0.639839572192513 0.617112299465241 0.507936507936508 0.240990371389271 0.472497614000689 0.551724137931034 0.382022471910112 0.470588235294118 0.470588235294118 0.763636363636364 0.823529411764706 0.527272727272727 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
glmnet Test Stats uni toc 0.670103092783505 30 30: 10, 34: 19, 35: 38, 36: 10, 37: 20 34.8041237113402 1438 0.638959931798807 0.638959931798807 0.666027280477408 0.627906976744186 0.334191334191334 0.376759117811582 0.675 0.474226804123711 0.58695652173913 0.58695652173913 0.745098039215686 0.58695652173913 0.745098039215686 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_glmnet_10.rdata
svmPoly Test Stats none rtx 0.617977528089888 50 1447: 89 1447 1438 0.638502673796791 0.638502673796791 0.522459893048128 0.19047619047619 0.0525986224170319 1.807240237423e-05 0.5 0.382022471910112 0.117647058823529 0.117647058823529 0.927272727272727 0.705882352941177 0.581818181818182 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
svmPoly Test Stats rfe any 0.705357142857143 30 50: 23, 1447: 89 1160.11607142857 1438 0.637890625 0.637890625 0.559375 0.813559322033898 0.141263940520446 0.00534877052048204 0.742268041237113 0.714285714285714 0.9 0.9 0.21875 0.725 0.5625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
svmRadial Test Stats uni rtx 0.629213483146067 25 25: 10, 27: 9, 29: 9, 33: 16, 37: 9, 44: 18, 67: 8, 72: 10 41.1573033707865 2628 0.637433155080214 0.637433155080214 0.587700534759358 0.459016393442623 0.182577233509602 0.296269871484286 0.518518518518518 0.382022471910112 0.411764705882353 0.411764705882353 0.763636363636364 0.617647058823529 0.654545454545455 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_svmRadial_10.rdata
svmPoly Test Stats uni rtx 0.662921348314607 50 52: 9, 57: 18, 59: 9, 66: 8, 70: 9, 80: 8, 82: 9, 88: 10, 93: 9 70.5393258426966 2628 0.636898395721925 0.636898395721925 0.614973262032086 0.482758620689655 0.243626062322946 0.10034824646229 0.583333333333333 0.382022471910112 0.411764705882353 0.411764705882353 0.818181818181818 0.558823529411765 0.727272727272727 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_svmPoly_10.rdata
glmnet Test Stats uni any 0.669642857142857 100 100: 11, 107: 11, 109: 12, 116: 12, 139: 22, 151: 11, 157: 11, 163: 11, 166: 11 134.303571428571 2628 0.635546875 0.635546875 0.534375 0.786127167630058 0.0782918149466191 0.0485197382802506 0.731182795698925 0.714285714285714 0.85 0.85 0.21875 0.575 0.71875 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_glmnet_10.rdata
rf Test Stats uni any 0.741071428571429 50 56: 11, 57: 11, 58: 12, 59: 11, 63: 11, 66: 11, 68: 12, 69: 11, 91: 11, 117: 11 70.2678571428571 2628 0.635546875 0.635546875 0.63125 0.830409356725146 0.292682926829268 0.0633177868300456 0.78021978021978 0.714285714285714 0.8875 0.8875 0.375 0.8625 0.40625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_rf_10.rdata
rf Test Stats uni rtx 0.595505617977528 25 25: 9, 26: 9, 27: 8, 29: 10, 34: 19, 37: 9, 39: 8, 48: 8, 52: 9 34.9213483146067 1438 0.635026737967914 0.635026737967914 0.560427807486631 0.4375 0.12363238512035 0.617075077451974 0.466666666666667 0.382022471910112 0.411764705882353 0.411764705882353 0.709090909090909 0.794117647058823 0.527272727272727 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
svmRadial Test Stats uni any 0.741071428571429 100 104: 11, 105: 11, 107: 12, 118: 11, 121: 11, 136: 23, 139: 11, 142: 11, 178: 11 128.473214285714 2628 0.634765625 0.634765625 0.63125 0.830409356725146 0.292682926829268 0.0633177868300456 0.78021978021978 0.714285714285714 0.8875 0.8875 0.375 0.7625 0.5625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_svmRadial_10.rdata
rf Test Stats uni toc 0.54639175257732 25 25: 19, 26: 21, 27: 20, 28: 9, 29: 9, 30: 9, 32: 10 27.4639175257732 1438 0.632566069906223 0.632566069906223 0.545183290707587 0.521739130434783 0.0903665814151746 1 0.521739130434783 0.474226804123711 0.521739130434783 0.521739130434783 0.568627450980392 0.847826086956522 0.490196078431373 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
svmPoly Test Stats uni any 0.714285714285714 25 26: 11, 32: 11, 39: 11, 41: 45, 42: 11, 43: 12, 47: 11 39.3482142857143 1438 0.632421875 0.632421875 0.575 0.818181818181818 0.176470588235294 0.00800994232988003 0.75 0.714285714285714 0.9 0.9 0.25 0.6375 0.71875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
gbm Test Stats uni any 0.732142857142857 50 64: 22, 65: 11, 66: 34, 68: 11, 71: 11, 85: 11, 93: 12 70.9553571428571 2628 0.63203125 0.63203125 0.634375 0.821428571428572 0.290540540540541 0.201242620957724 0.784090909090909 0.714285714285714 0.8625 0.8625 0.40625 0.725 0.625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_gbm_10.rdata
rf Test Stats uni rtx 0.629213483146067 50 51: 9, 52: 10, 55: 18, 56: 9, 63: 8, 66: 8, 74: 9, 88: 9, 91: 9 64.9662921348315 2628 0.631818181818182 0.631818181818182 0.598930481283422 0.492307692307692 0.201251019853141 0.72772354666955 0.516129032258065 0.382022471910112 0.470588235294118 0.470588235294118 0.727272727272727 0.823529411764706 0.509090909090909 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_rf_10.rdata
rf Test Stats uni rtx 0.629213483146067 50 52: 9, 53: 9, 55: 10, 59: 8, 60: 9, 65: 10, 66: 8, 69: 9, 70: 8, 72: 9 61.9550561797753 1438 0.631550802139037 0.631550802139037 0.598930481283422 0.492307692307692 0.201251019853141 0.72772354666955 0.516129032258065 0.382022471910112 0.470588235294118 0.470588235294118 0.727272727272727 0.676470588235294 0.618181818181818 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
svmRadial Test Stats uni any 0.732142857142857 25 30: 11, 32: 12, 33: 11, 36: 11, 39: 23, 49: 11, 57: 22, 85: 11 45.5178571428571 2628 0.63125 0.63125 0.625 0.823529411764706 0.275862068965517 0.10034824646229 0.777777777777778 0.714285714285714 0.875 0.875 0.375 0.8375 0.46875 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_svmRadial_10.rdata
svmPoly Test Stats rfe rtx 0.617977528089888 25 50: 9, 1447: 80 1305.73033707865 1438 0.629411764705882 0.629411764705882 0.539304812834225 0.291666666666667 0.0885542168674699 0.00112013488271108 0.5 0.382022471910112 0.205882352941176 0.205882352941176 0.872727272727273 0.647058823529412 0.672727272727273 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
svmPoly Test Stats rfe rtx 0.595505617977528 30 50: 35, 1447: 54 897.61797752809 1438 0.62620320855615 0.62620320855615 0.521122994652406 0.28 0.0469958358120166 0.00460653226339178 0.4375 0.382022471910112 0.205882352941176 0.205882352941176 0.836363636363636 0.852941176470588 0.472727272727273 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
svmRadial Test Stats none toc 0.608247422680412 30 1447: 97 1447 1438 0.625745950554135 0.625745950554135 0.607203751065644 0.58695652173913 0.214407502131287 1 0.58695652173913 0.474226804123711 0.58695652173913 0.58695652173913 0.627450980392157 0.58695652173913 0.666666666666667 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
glmnet Test Stats none rtx 0.595505617977528 30 1447: 89 1447 1438 0.624598930481283 0.624598930481283 0.521122994652406 0.28 0.0469958358120166 0.00460653226339178 0.4375 0.382022471910112 0.205882352941176 0.205882352941176 0.836363636363636 0.794117647058823 0.454545454545455 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_glmnet_10.rdata
svmRadial Test Stats rfe rtx 0.606741573033708 50 50: 19, 1447: 70 1148.76404494382 1438 0.624598930481283 0.624598930481283 0.552673796791444 0.385964912280702 0.112282701624395 0.0909689479753577 0.478260869565217 0.382022471910112 0.323529411764706 0.323529411764706 0.781818181818182 0.647058823529412 0.690909090909091 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
glmnet Test Stats rfe any 0.705357142857143 25 50: 112 50 1438 0.623828125 0.623828125 0.540625 0.81767955801105 0.101167315175098 0.000498514893575205 0.732673267326733 0.714285714285714 0.925 0.925 0.15625 0.4625 0.78125 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
gbm Test Stats uni any 0.705357142857143 25 26: 11, 27: 11, 28: 11, 36: 11, 39: 11, 43: 23, 50: 11, 59: 12, 89: 11 44.125 2628 0.623828125 0.623828125 0.578125 0.809248554913295 0.177935943060498 0.0367138563627041 0.752688172043011 0.714285714285714 0.875 0.875 0.28125 0.775 0.46875 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_gbm_10.rdata
glmnet Test Stats none rtx 0.629213483146067 25 1447: 89 1447 1438 0.62192513368984 0.62192513368984 0.576470588235294 0.421052631578947 0.163009404388715 0.0817227522986591 0.521739130434783 0.382022471910112 0.352941176470588 0.352941176470588 0.8 0.794117647058823 0.490909090909091 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_glmnet_10.rdata
glmnet Test Stats rfe rtx 0.606741573033708 100 100: 54, 2637: 35 1097.69662921348 2628 0.619786096256684 0.619786096256684 0.547058823529412 0.363636363636364 0.101528699163542 0.0425224779980516 0.476190476190476 0.382022471910112 0.294117647058824 0.294117647058824 0.8 0.823529411764706 0.436363636363636 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_rf_10.rdata
svmPoly Test Stats uni rtx 0.651685393258427 25 31: 9, 32: 10, 34: 19, 44: 8, 49: 8, 50: 8, 52: 9, 57: 9, 60: 9 43.9325842696629 2628 0.619786096256684 0.619786096256684 0.622727272727273 0.523076923076923 0.249660048952951 0.719437544423391 0.548387096774194 0.382022471910112 0.5 0.5 0.745454545454545 0.676470588235294 0.581818181818182 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_svmPoly_10.rdata
svmPoly Test Stats none rtx 0.629213483146067 25 1447: 89 1447 1438 0.619251336898396 0.619251336898396 0.531550802139037 0.195121951219512 0.0743775606681373 6.01051628492323e-06 0.571428571428571 0.382022471910112 0.117647058823529 0.117647058823529 0.945454545454545 0.529411764705882 0.763636363636364 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
xgbLinear Test Stats uni rtx 0.662921348314607 50 55: 10, 62: 8, 65: 9, 69: 10, 70: 9, 75: 9, 76: 8, 87: 9, 97: 9, 105: 8 75.6179775280899 2628 0.619251336898396 0.619251336898396 0.620588235294118 0.5 0.252519596864502 0.201242620957724 0.576923076923077 0.382022471910112 0.441176470588235 0.441176470588235 0.8 0.558823529411765 0.709090909090909 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_xgbLinear_10.rdata
glmnet Test Stats none toc 0.587628865979381 50 1447: 97 1447 1438 0.617647058823529 0.617647058823529 0.585464620630861 0.555555555555556 0.171294318667236 0.874367061162892 0.568181818181818 0.474226804123711 0.543478260869565 0.543478260869565 0.627450980392157 0.804347826086957 0.509803921568627 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_glmnet_10.rdata
glmnet Test Stats uni rtx 0.662921348314607 25 25: 20, 26: 8, 29: 8, 30: 9, 34: 18, 35: 9, 36: 9, 48: 8 31.9662921348315 1438 0.617647058823529 0.617647058823529 0.609358288770053 0.464285714285714 0.234518348623853 0.0446097180249397 0.590909090909091 0.382022471910112 0.382352941176471 0.382352941176471 0.836363636363636 0.647058823529412 0.672727272727273 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_glmnet_10.rdata
svmPoly Test Stats none toc 0.587628865979381 25 1447: 97 1447 1438 0.615515771526002 0.615515771526002 0.580136402387042 0.5 0.162348877374784 0.0819903210003831 0.588235294117647 0.474226804123711 0.434782608695652 0.434782608695652 0.725490196078431 0.804347826086957 0.450980392156863 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
svmRadial Test Stats uni toc 0.54639175257732 50 57: 20, 58: 28, 59: 10, 64: 10, 65: 19, 67: 10 60.8144329896907 2628 0.615089514066496 0.615089514066496 0.545183290707587 0.521739130434783 0.0903665814151746 1 0.521739130434783 0.474226804123711 0.521739130434783 0.521739130434783 0.568627450980392 0.826086956521739 0.470588235294118 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_svmRadial_10.rdata
svmPoly Test Stats rfe any 0.705357142857143 25 50: 11, 1447: 101 1309.79464285714 1438 0.612109375 0.612109375 0.53125 0.819672131147541 0.0796812749003987 0.000128295178195321 0.728155339805825 0.714285714285714 0.9375 0.9375 0.125 0.2875 0.9375 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
svmPoly Test Stats uni any 0.714285714285714 50 57: 12, 58: 11, 62: 11, 67: 11, 69: 11, 79: 12, 84: 11, 85: 11, 89: 11, 90: 11 73.8928571428571 2628 0.609765625 0.609765625 0.584375 0.816091954022989 0.194244604316547 0.0215562667600163 0.75531914893617 0.714285714285714 0.8875 0.8875 0.28125 0.7375 0.53125 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_svmPoly_10.rdata
svmRadial Test Stats uni toc 0.577319587628866 25 25: 9, 27: 47, 30: 11, 31: 10, 33: 10, 35: 10 29.0103092783505 1438 0.609121909633419 0.609121909633419 0.578857630008525 0.577319587628866 0.15687937248251 0.532171224148849 0.549019607843137 0.474226804123711 0.608695652173913 0.608695652173913 0.549019607843137 0.847826086956522 0.470588235294118 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
glmnet Test Stats none toc 0.54639175257732 30 1447: 97 1447 1438 0.608695652173913 0.608695652173913 0.546248934356351 0.531914893617021 0.092301148447469 0.880168454906725 0.520833333333333 0.474226804123711 0.543478260869565 0.543478260869565 0.549019607843137 0.782608695652174 0.490196078431373 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_glmnet_10.rdata
glmnet Test Stats rfe toc 0.556701030927835 100 100: 59, 2637: 38 1093.87628865979 2628 0.606990622335891 0.606990622335891 0.553921568627451 0.51685393258427 0.108189010049177 0.760368330055203 0.534883720930233 0.474226804123711 0.5 0.5 0.607843137254902 0.826086956521739 0.392156862745098 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_rf_10.rdata
glmnet Test Stats none rtx 0.595505617977528 50 1447: 89 1447 1438 0.606149732620321 0.606149732620321 0.521122994652406 0.28 0.0469958358120166 0.00460653226339178 0.4375 0.382022471910112 0.205882352941176 0.205882352941176 0.836363636363636 0.529411764705882 0.745454545454545 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_glmnet_10.rdata
gbm Test Stats uni rtx 0.629213483146067 25 27: 9, 30: 8, 32: 10, 34: 9, 36: 8, 40: 9, 44: 9, 45: 9, 58: 9, 106: 9 45.3258426966292 2628 0.605347593582888 0.605347593582888 0.604545454545454 0.507462686567164 0.210271578381285 1 0.515151515151515 0.382022471910112 0.5 0.5 0.709090909090909 0.441176470588235 0.781818181818182 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_gbm_10.rdata
glmnet Test Stats uni toc 0.587628865979381 50 51: 19, 56: 10, 57: 19, 59: 29, 64: 10, 66: 10 57.9690721649485 1438 0.604859335038363 0.604859335038363 0.584398976982097 0.545454545454545 0.169520547945205 0.635256295997248 0.571428571428571 0.474226804123711 0.521739130434783 0.521739130434783 0.647058823529412 0.826086956521739 0.470588235294118 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_glmnet_10.rdata
gbm Test Stats uni toc 0.577319587628866 50 50: 10, 51: 19, 52: 10, 54: 9, 56: 10, 58: 9, 60: 10, 62: 10, 66: 10 56.0515463917526 2628 0.601449275362319 0.601449275362319 0.573529411764706 0.528735632183908 0.147846582386972 0.532171224148849 0.560975609756098 0.474226804123711 0.5 0.5 0.647058823529412 0.630434782608696 0.647058823529412 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_gbm_10.rdata
xgbLinear Test Stats uni any 0.6875 25 26: 12, 27: 23, 28: 22, 30: 11, 31: 22, 34: 11, 55: 11 31.6071428571429 2628 0.600390625 0.600390625 0.584375 0.790419161676647 0.180602006688963 0.310494434317235 0.758620689655172 0.714285714285714 0.825 0.825 0.34375 0.6875 0.59375 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_xgbLinear_10.rdata
svmRadial Test Stats none toc 0.577319587628866 25 1447: 97 1447 1438 0.599744245524297 0.599744245524297 0.573529411764706 0.528735632183908 0.147846582386972 0.532171224148849 0.560975609756098 0.474226804123711 0.5 0.5 0.647058823529412 0.717391304347826 0.529411764705882 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
glmnet Test Stats uni any 0.696428571428571 50 55: 23, 57: 12, 58: 11, 68: 11, 73: 11, 78: 11, 79: 11, 90: 11, 94: 11 70.4375 2628 0.59921875 0.59921875 0.571875 0.802325581395349 0.161971830985915 0.0592297037272792 0.75 0.714285714285714 0.8625 0.8625 0.28125 0.575 0.6875 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_glmnet_10.rdata
svmRadial Test Stats rfe toc 0.525773195876289 50 1447: 97 1447 1438 0.598891730605286 0.598891730605286 0.515984654731458 0.394736842105263 0.0325238508239376 0.0269922862724023 0.5 0.474226804123711 0.326086956521739 0.326086956521739 0.705882352941177 0.717391304347826 0.529411764705882 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
svmRadial Test Stats none toc 0.556701030927835 50 1447: 97 1447 1438 0.596334185848252 0.596334185848252 0.553921568627451 0.51685393258427 0.108189010049177 0.760368330055203 0.534883720930233 0.474226804123711 0.5 0.5 0.607843137254902 0.847826086956522 0.431372549019608 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
svmPoly Test Stats uni any 0.723214285714286 50 52: 11, 54: 12, 59: 22, 60: 11, 61: 23, 64: 11, 74: 11, 84: 11 62.7053571428571 1438 0.5921875 0.5921875 0.58125 0.824858757062147 0.193308550185874 0.0040571360323713 0.752577319587629 0.714285714285714 0.9125 0.9125 0.25 0.8625 0.40625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
rf Test Stats rfe toc 0.54639175257732 25 50: 78, 1447: 19 323.639175257732 1438 0.59079283887468 0.59079283887468 0.54305200341006 0.5 0.0864726027397259 0.651076634077834 0.523809523809524 0.474226804123711 0.478260869565217 0.478260869565217 0.607843137254902 0.717391304347826 0.490196078431373 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
gbm Test Stats uni toc 0.587628865979381 50 76: 9, 83: 10, 85: 19, 106: 9, 108: 10, 116: 10, 127: 11, 136: 10, 149: 9 107.432989690722 1438 0.589940323955669 0.589940323955669 0.581202046035806 0.51219512195122 0.164153382162861 0.154728923485379 0.583333333333333 0.474226804123711 0.456521739130435 0.456521739130435 0.705882352941177 0.934782608695652 0.313725490196078 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_gbm_10.rdata
rf Test Stats uni rtx 0.606741573033708 100 108: 9, 111: 18, 119: 9, 121: 8, 122: 8, 135: 10, 140: 9, 141: 9, 146: 9 125.595505617978 2628 0.587967914438503 0.587967914438503 0.586363636363636 0.492753623188406 0.171762829034831 1 0.485714285714286 0.382022471910112 0.5 0.5 0.672727272727273 0.647058823529412 0.618181818181818 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_rf_10.rdata
mda Test Stats uni rtx 0.550561797752809 25 29: 10, 30: 8, 31: 10, 32: 9, 35: 17, 45: 18, 55: 8, 71: 9 40.5842696629214 2628 0.587700534759358 0.587700534759358 0.535294117647059 0.444444444444444 0.0690376569037658 0.635256295997248 0.421052631578947 0.382022471910112 0.470588235294118 0.470588235294118 0.6 0.882352941176471 0.345454545454545 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_mda_10.rdata
glmnet Test Stats rfe any 0.660714285714286 50 50: 89, 1447: 23 336.883928571429 1438 0.5875 0.5875 0.51875 0.781609195402299 0.0431654676258992 0.0349550726436305 0.723404255319149 0.714285714285714 0.85 0.85 0.1875 0.4 0.75 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
rf Test Stats none toc 0.525773195876289 50 1447: 97 1447 1438 0.586317135549872 0.586317135549872 0.522378516624041 0.477272727272727 0.0449486301369863 0.658253414311283 0.5 0.474226804123711 0.456521739130435 0.456521739130435 0.588235294117647 0.804347826086957 0.470588235294118 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
svmRadial Test Stats uni toc 0.556701030927835 50 52: 9, 54: 10, 57: 9, 58: 10, 59: 10, 61: 10, 62: 10, 63: 20, 69: 9 59.8144329896907 1438 0.586104006820119 0.586104006820119 0.557118499573743 0.547368421052632 0.113872955173147 0.760368330055203 0.530612244897959 0.474226804123711 0.565217391304348 0.565217391304348 0.549019607843137 0.891304347826087 0.372549019607843 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmRadial_10.rdata
svmPoly Test Stats none rtx 0.617977528089888 30 1447: 89 1447 1438 0.586096256684492 0.586096256684492 0.52807486631016 0.227272727272727 0.0648949320148332 7.99775128061872e-05 0.5 0.382022471910112 0.147058823529412 0.147058823529412 0.909090909090909 0.676470588235294 0.527272727272727 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
gbm Test Stats uni any 0.723214285714286 100 101: 11, 106: 11, 108: 11, 114: 11, 115: 11, 117: 11, 124: 11, 139: 12, 141: 11, 153: 12 122.232142857143 2628 0.5859375 0.5859375 0.61875 0.816568047337278 0.25938566552901 0.150762775026645 0.775280898876405 0.714285714285714 0.8625 0.8625 0.375 0.8875 0.375 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_gbm_10.rdata
rf Test Stats uni toc 0.577319587628866 50 50: 10, 56: 10, 57: 20, 58: 10, 60: 9, 61: 10, 63: 9, 64: 10, 70: 9 59.4536082474227 1438 0.585890878090367 0.585890878090367 0.575660699062233 0.549450549450549 0.151482824834649 1 0.555555555555556 0.474226804123711 0.543478260869565 0.543478260869565 0.607843137254902 0.934782608695652 0.254901960784314 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
svmPoly Test Stats none toc 0.556701030927835 50 1447: 97 1447 1438 0.585677749360614 0.585677749360614 0.551790281329923 0.494117647058824 0.10435902941808 0.360196133386002 0.538461538461538 0.474226804123711 0.456521739130435 0.456521739130435 0.647058823529412 0.630434782608696 0.568627450980392 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
glmnet Test Stats uni any 0.660714285714286 25 25: 11, 26: 11, 31: 11, 32: 22, 39: 11, 41: 24, 61: 11, 83: 11 41.0982142857143 1438 0.585546875 0.585546875 0.5375 0.776470588235294 0.082758620689655 0.144292055440106 0.733333333333333 0.714285714285714 0.825 0.825 0.25 0.65 0.59375 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_glmnet_10.rdata
glmnet Test Stats uni toc 0.56701030927835 25 25: 10, 27: 18, 28: 19, 30: 20, 32: 10, 33: 10, 34: 10 29.4639175257732 1438 0.585464620630861 0.585464620630861 0.561594202898551 0.5 0.124247635425623 0.280087210811497 0.552631578947368 0.474226804123711 0.456521739130435 0.456521739130435 0.666666666666667 0.652173913043478 0.588235294117647 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_glmnet_10.rdata
svmRadial Test Stats rfe toc 0.556701030927835 100 100: 19, 2637: 78 2140.0618556701 2628 0.583120204603581 0.583120204603581 0.546462063086104 0.426666666666667 0.094638593444758 0.0146881919458478 0.551724137931034 0.474226804123711 0.347826086956522 0.347826086956522 0.745098039215686 0.847826086956522 0.333333333333333 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_svmRadial_10.rdata
gbm Test Stats uni rtx 0.595505617977528 50 182: 9, 251: 9, 254: 10, 263: 8, 285: 10, 304: 8, 309: 9, 345: 9, 348: 9, 365: 8 289.449438202247 1438 0.582887700534759 0.582887700534759 0.560427807486631 0.4375 0.12363238512035 0.617075077451974 0.466666666666667 0.382022471910112 0.411764705882353 0.411764705882353 0.709090909090909 0.705882352941177 0.545454545454545 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_gbm_10.rdata
xgbLinear Test Stats uni rtx 0.606741573033708 100 103: 9, 108: 8, 114: 18, 123: 9, 130: 8, 131: 9, 132: 9, 133: 10, 154: 9 124.415730337079 2628 0.582887700534759 0.582887700534759 0.597593582887701 0.520547945205479 0.189856957087126 0.498962298603761 0.487179487179487 0.382022471910112 0.558823529411765 0.558823529411765 0.636363636363636 0.617647058823529 0.636363636363636 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9_ml_nested_xgbLinear_10.rdata
svmPoly Test Stats uni toc 0.556701030927835 30 31: 9, 33: 29, 34: 40, 35: 10, 37: 9 33.8041237113402 1438 0.580562659846547 0.580562659846547 0.557118499573743 0.547368421052632 0.113872955173147 0.760368330055203 0.530612244897959 0.474226804123711 0.565217391304348 0.565217391304348 0.549019607843137 0.869565217391304 0.372549019607843 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
svmPoly Test Stats rfe toc 0.556701030927835 50 50: 40, 1447: 57 870.917525773196 1438 0.577152600170503 0.577152600170503 0.553921568627451 0.51685393258427 0.108189010049177 0.760368330055203 0.534883720930233 0.474226804123711 0.5 0.5 0.607843137254902 0.891304347826087 0.392156862745098 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
xgbLinear Test Stats uni rtx 0.584269662921348 25 27: 8, 30: 9, 32: 8, 35: 29, 37: 9, 42: 9, 47: 8, 65: 9 38.5280898876404 2628 0.575935828877005 0.575935828877005 0.556951871657754 0.447761194029851 0.114546921215381 1 0.454545454545455 0.382022471910112 0.441176470588235 0.441176470588235 0.672727272727273 0.647058823529412 0.545454545454545 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_xgbLinear_10.rdata
glmnet Test Stats rfe toc 0.556701030927835 50 50: 49, 1447: 48 741.298969072165 1438 0.57459505541347 0.57459505541347 0.550724637681159 0.481927710843373 0.102431676350334 0.222469210664689 0.540540540540541 0.474226804123711 0.434782608695652 0.434782608695652 0.666666666666667 0.673913043478261 0.529411764705882 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
glmnet Test Stats rfe any 0.696428571428571 100 100: 44, 2637: 68 1640.32142857143 2628 0.57421875 0.57421875 0.525 0.813186813186813 0.062992125984252 0.00031642259044629 0.725490196078431 0.714285714285714 0.925 0.925 0.125 0.6125 0.5625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_rf_10.rdata
glmnet Test Stats rfe toc 0.577319587628866 30 50: 56, 1447: 41 640.484536082474 1438 0.574168797953964 0.574168797953964 0.573529411764706 0.528735632183908 0.147846582386972 0.532171224148849 0.560975609756098 0.474226804123711 0.5 0.5 0.647058823529412 0.630434782608696 0.588235294117647 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
svmRadial Test Stats uni toc 0.54639175257732 25 26: 10, 28: 9, 32: 20, 33: 29, 35: 19, 39: 10 32.6185567010309 2628 0.573742540494459 0.573742540494459 0.545183290707587 0.521739130434783 0.0903665814151746 1 0.521739130434783 0.474226804123711 0.521739130434783 0.521739130434783 0.568627450980392 1 0.274509803921569 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_svmRadial_10.rdata
svmRadial Test Stats uni toc 0.505154639175258 30 32: 9, 33: 10, 34: 30, 36: 19, 39: 10, 40: 10, 41: 9 35.8865979381443 1438 0.572463768115942 0.572463768115942 0.500639386189258 0.441860465116279 0.00128700128700119 0.47048642205879 0.475 0.474226804123711 0.41304347826087 0.41304347826087 0.588235294117647 0.782608695652174 0.450980392156863 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
svmPoly Test Stats none toc 0.56701030927835 30 1447: 97 1447 1438 0.57075873827792 0.57075873827792 0.556265984654731 0.432432432432432 0.114732724902216 0.00871191296237958 0.571428571428571 0.474226804123711 0.347826086956522 0.347826086956522 0.764705882352941 0.739130434782609 0.450980392156863 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
rf Test Stats uni toc 0.536082474226804 25 25: 29, 27: 10, 28: 9, 29: 10, 30: 10, 32: 10, 33: 9, 36: 10 29.0103092783505 2628 0.569693094629156 0.569693094629156 0.531116794543904 0.470588235294118 0.0627013098561305 0.371093369522698 0.512820512820513 0.474226804123711 0.434782608695652 0.434782608695652 0.627450980392157 0.91304347826087 0.313725490196078 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_rf_10.rdata
glmnet Test Stats uni rtx 0.606741573033708 30 30: 18, 32: 10, 35: 8, 37: 8, 38: 18, 39: 18, 44: 9 36.1573033707865 1438 0.56951871657754 0.56951871657754 0.56951871657754 0.444444444444444 0.143053645116919 0.498962298603761 0.482758620689655 0.382022471910112 0.411764705882353 0.411764705882353 0.727272727272727 0.647058823529412 0.545454545454545 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_glmnet_10.rdata
rf Test Stats none toc 0.56701030927835 30 1447: 97 1447 1438 0.567561807331628 0.567561807331628 0.563725490196078 0.522727272727273 0.127996575342466 0.64342884356362 0.547619047619048 0.474226804123711 0.5 0.5 0.627450980392157 0.956521739130435 0.254901960784314 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
rf Test Stats rfe toc 0.556701030927835 30 50: 59, 1447: 38 597.278350515464 1438 0.567348678601876 0.567348678601876 0.552855924978687 0.505747126436782 0.106278122991215 0.541865595787252 0.536585365853659 0.474226804123711 0.478260869565217 0.478260869565217 0.627450980392157 0.565217391304348 0.607843137254902 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
glmnet Test Stats uni any 0.651785714285714 30 31: 11, 32: 11, 33: 11, 36: 11, 37: 11, 39: 11, 41: 11, 44: 12, 47: 11, 60: 12 40.2142857142857 1438 0.566796875 0.566796875 0.53125 0.769230769230769 0.0682593856655292 0.200184804177579 0.730337078651685 0.714285714285714 0.8125 0.8125 0.25 0.5375 0.71875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_glmnet_10.rdata
mda Test Stats uni any 0.607142857142857 25 27: 11, 30: 11, 39: 11, 42: 22, 47: 11, 52: 11, 59: 12, 61: 11, 66: 12 46.7857142857143 2628 0.566015625 0.566015625 0.565625 0.706666666666667 0.12 0.174844433610415 0.757142857142857 0.714285714285714 0.6625 0.6625 0.46875 0.875 0.34375 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_mda_10.rdata
svmRadial Test Stats uni any 0.6875 25 25: 11, 34: 11, 35: 11, 36: 12, 37: 12, 38: 11, 39: 11, 40: 22, 49: 11 37.2857142857143 1438 0.565625 0.565625 0.55625 0.797687861271676 0.128113879003559 0.0425224779980516 0.741935483870968 0.714285714285714 0.8625 0.8625 0.25 0.6875 0.5625 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
mda Test Stats uni toc 0.54639175257732 25 26: 20, 29: 19, 31: 19, 32: 10, 33: 9, 34: 10, 36: 10 30.6907216494845 2628 0.565217391304348 0.565217391304348 0.547314578005115 0.541666666666667 0.0942275042444822 0.651076634077834 0.52 0.474226804123711 0.565217391304348 0.565217391304348 0.529411764705882 0.847826086956522 0.352941176470588 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_mda_10.rdata
pda Test Stats uni any 0.633928571428571 25 26: 12, 27: 12, 35: 11, 36: 11, 48: 11, 49: 11, 55: 11, 56: 22, 121: 11 50.4642857142857 2628 0.5640625 0.5640625 0.575 0.735483870967742 0.143283582089552 0.532171224148849 0.76 0.714285714285714 0.7125 0.7125 0.4375 0.5875 0.65625 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_pda_10.rdata
glmnet Test Stats uni toc 0.597938144329897 25 25: 10, 26: 10, 27: 10, 28: 10, 29: 19, 30: 9, 34: 10, 35: 9, 36: 10 29.8556701030928 2628 0.56308610400682 0.56308610400682 0.593137254901961 0.541176470588235 0.18767446854198 0.336668367610039 0.58974358974359 0.474226804123711 0.5 0.5 0.686274509803922 0.5 0.686274509803922 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_glmnet_10.rdata
glmnet Test Stats rfe any 0.696428571428571 30 50: 90, 1447: 22 324.410714285714 1438 0.562890625 0.562890625 0.515625 0.815217391304348 0.0403225806451609 7.99775128061872e-05 0.721153846153846 0.714285714285714 0.9375 0.9375 0.09375 0.1375 0.96875 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
svmPoly Test Stats uni toc 0.536082474226804 50 53: 28, 57: 10, 58: 11, 62: 19, 63: 20, 67: 9 59.1030927835052 2628 0.562659846547315 0.562659846547315 0.533248081841432 0.49438202247191 0.0667094291212315 0.765594483995764 0.511627906976744 0.474226804123711 0.478260869565217 0.478260869565217 0.588235294117647 0.760869565217391 0.431372549019608 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_svmPoly_10.rdata
pda Test Stats uni toc 0.536082474226804 25 25: 9, 26: 10, 28: 9, 29: 10, 31: 10, 32: 10, 33: 10, 35: 20, 38: 9 31.2268041237113 2628 0.562233589087809 0.562233589087809 0.539641943734015 0.554455445544554 0.0785307156428119 0.233037982273905 0.509090909090909 0.474226804123711 0.608695652173913 0.608695652173913 0.470588235294118 0.826086956521739 0.372549019607843 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_pda_10.rdata
svmRadial Test Stats rfe toc 0.54639175257732 50 2637: 97 2637 2628 0.561381074168798 0.561381074168798 0.538789428815004 0.45 0.0785837651122624 0.0972544284390032 0.529411764705882 0.474226804123711 0.391304347826087 0.391304347826087 0.686274509803922 0.760869565217391 0.411764705882353 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_svmRadial_10.rdata
svmPoly Test Stats uni toc 0.536082474226804 25 25: 9, 28: 10, 31: 9, 32: 19, 33: 19, 34: 11, 35: 10, 37: 10 32.0927835051546 2628 0.560102301790281 0.560102301790281 0.537510656436488 0.536082474226804 0.0746237015051939 0.550984987585094 0.509803921568627 0.474226804123711 0.565217391304348 0.565217391304348 0.509803921568627 0.826086956521739 0.352941176470588 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_svmPoly_10.rdata
pda Test Stats uni rtx 0.550561797752809 25 29: 10, 30: 18, 34: 8, 46: 8, 48: 8, 53: 9, 64: 10, 65: 10, 67: 8 46.7078651685393 2628 0.557754010695187 0.557754010695187 0.540909090909091 0.459459459459459 0.0791515778582515 0.429195300440349 0.425 0.382022471910112 0.5 0.5 0.581818181818182 0.676470588235294 0.472727272727273 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_pda_10.rdata
glmnet Test Stats rfe rtx 0.606741573033708 50 50: 45, 1447: 44 740.651685393258 1438 0.557486631016043 0.557486631016043 0.507754010695187 0.146341463414634 0.018279231011661 1.10873702097377e-05 0.428571428571429 0.382022471910112 0.0882352941176471 0.0882352941176471 0.927272727272727 0.970588235294118 0.218181818181818 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
rf Test Stats uni toc 0.515463917525773 30 30: 9, 31: 10, 33: 10, 35: 10, 36: 10, 37: 19, 40: 20, 44: 9 36.2783505154639 1438 0.55690537084399 0.55690537084399 0.513640238704177 0.483516483516484 0.0273095796884999 1 0.488888888888889 0.474226804123711 0.478260869565217 0.478260869565217 0.549019607843137 0.891304347826087 0.372549019607843 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
rf Test Stats rfe toc 0.54639175257732 50 50: 67, 1447: 30 482.061855670103 1438 0.552429667519182 0.552429667519182 0.545183290707587 0.521739130434783 0.0903665814151746 1 0.521739130434783 0.474226804123711 0.521739130434783 0.521739130434783 0.568627450980392 0.869565217391304 0.372549019607843 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_rf_10.rdata
glmnet Test Stats uni any 0.633928571428571 50 50: 23, 51: 11, 56: 11, 58: 23, 60: 11, 65: 11, 74: 11, 84: 11 60.4821428571429 1438 0.55234375 0.55234375 0.5 0.760233918128655 -3.03280435995165e-16 0.118349812735629 0.714285714285714 0.714285714285714 0.8125 0.8125 0.1875 0.6625 0.53125 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_glmnet_10.rdata
xgbLinear Test Stats uni toc 0.587628865979381 50 52: 10, 53: 9, 54: 10, 55: 19, 57: 29, 63: 10, 65: 10 56.8556701030928 2628 0.55157715260017 0.55157715260017 0.588661551577153 0.583333333333333 0.176570458404075 0.635256295997248 0.56 0.474226804123711 0.608695652173913 0.608695652173913 0.568627450980392 0.608695652173913 0.568627450980392 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_xgbLinear_10.rdata
svmPoly Test Stats uni toc 0.515463917525773 50 50: 19, 51: 19, 52: 20, 54: 10, 57: 10, 64: 10, 69: 9 54.9484536082474 1438 0.549019607843137 0.549019607843137 0.508312020460358 0.419753086419753 0.0168212206167779 0.144661487772809 0.485714285714286 0.474226804123711 0.369565217391304 0.369565217391304 0.647058823529412 0.804347826086957 0.372549019607843 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_50/all_ml_nested_svmPoly_10.rdata
xgbLinear Test Stats uni toc 0.54639175257732 25 25: 30, 26: 10, 31: 9, 33: 21, 35: 9, 36: 9, 40: 9 30.7319587628866 2628 0.548167092924126 0.548167092924126 0.545183290707587 0.521739130434783 0.0903665814151746 1 0.521739130434783 0.474226804123711 0.521739130434783 0.521739130434783 0.568627450980392 0.804347826086957 0.372549019607843 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_xgbLinear_10.rdata
rf Test Stats rfe toc 0.494845360824742 50 50: 29, 2637: 68 1863.56701030928 2628 0.546462063086104 0.546462063086104 0.488704177323103 0.409638554216867 -0.0228104153217129 0.253097908947116 0.459459459459459 0.474226804123711 0.369565217391304 0.369565217391304 0.607843137254902 0.847826086956522 0.392156862745098 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_rf_10.rdata
svmRadial Test Stats rfe toc 0.556701030927835 30 50: 30, 1447: 67 1014.9381443299 1438 0.546035805626598 0.546035805626598 0.554987212276215 0.527472527472527 0.110091743119266 1 0.533333333333333 0.474226804123711 0.521739130434783 0.521739130434783 0.588235294117647 0.782608695652174 0.411764705882353 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmRadial_10.rdata
svmPoly Test Stats rfe rtx 0.584269662921348 50 50: 9, 2637: 80 2375.39325842697 2628 0.545454545454545 0.545454545454545 0.500802139037433 0.212765957446809 0.00181873294937862 0.00100909098809605 0.384615384615385 0.382022471910112 0.147058823529412 0.147058823529412 0.854545454545454 0.5 0.654545454545455 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_svmPoly_10.rdata
glmnet Test Stats rfe rtx 0.617977528089888 30 50: 52, 1447: 37 630.775280898876 1438 0.540909090909091 0.540909090909091 0.5 NA 0 1.518559552352e-08 NA 0.382022471910112 0 0 1 0.970588235294118 0.163636363636364 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_rf_10.rdata
svmPoly Test Stats uni toc 0.515463917525773 25 25: 20, 26: 18, 27: 19, 30: 11, 32: 20, 36: 9 28.6082474226804 1438 0.537084398976982 0.537084398976982 0.512574595055413 0.471910112359551 0.0252298481932861 0.770493082794424 0.488372093023256 0.474226804123711 0.456521739130435 0.456521739130435 0.568627450980392 0.652173913043478 0.490196078431373 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmPoly_10.rdata
rf Test Stats rfe toc 0.536082474226804 100 100: 50, 2637: 47 1329.26804123711 2628 0.536871270247229 0.536871270247229 0.532182438192668 0.482758620689655 0.0647096635954576 0.550984987585094 0.51219512195122 0.474226804123711 0.456521739130435 0.456521739130435 0.607843137254902 0.869565217391304 0.274509803921569 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_rf_10.rdata
glmnet Test Stats uni toc 0.494845360824742 50 50: 10, 51: 10, 52: 20, 56: 9, 57: 9, 58: 10, 59: 10, 60: 10, 61: 9 55.5257731958763 2628 0.536231884057971 0.536231884057971 0.491901108269395 0.449438202247191 -0.016249732734659 0.775096962195985 0.465116279069767 0.474226804123711 0.434782608695652 0.434782608695652 0.549019607843137 0.760869565217391 0.450980392156863 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_glmnet_10.rdata
svmPoly Test Stats rfe toc 0.54639175257732 50 50: 30, 2637: 67 1836.89690721649 2628 0.531969309462916 0.531969309462916 0.538789428815004 0.45 0.0785837651122624 0.0972544284390032 0.529411764705882 0.474226804123711 0.391304347826087 0.391304347826087 0.686274509803922 0.956521739130435 0.156862745098039 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_svmPoly_10.rdata
glmnet Test Stats rfe toc 0.54639175257732 25 50: 57, 1447: 40 626.082474226804 1438 0.531116794543904 0.531116794543904 0.53772378516624 0.435897435897436 0.0765902206836866 0.0500163954856456 0.53125 0.474226804123711 0.369565217391304 0.369565217391304 0.705882352941177 0.58695652173913 0.549019607843137 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
rf Test Stats none toc 0.505154639175258 25 1447: 97 1447 1438 0.524722932651321 0.524722932651321 0.499573742540494 0.428571428571429 -0.00085984522785907 0.312321421676216 0.473684210526316 0.474226804123711 0.391304347826087 0.391304347826087 0.607843137254902 0.956521739130435 0.235294117647059 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
gbm Test Stats uni toc 0.525773195876289 25 25: 9, 26: 9, 28: 21, 31: 10, 33: 9, 35: 10, 36: 10, 39: 9, 41: 10 32.2164948453608 2628 0.518755328218244 0.518755328218244 0.523444160272805 0.488888888888889 0.0469884664673216 0.882783191152826 0.5 0.474226804123711 0.478260869565217 0.478260869565217 0.568627450980392 0.521739130434783 0.568627450980392 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_25/all_visit9_ml_nested_gbm_10.rdata
pda Test Stats uni rtx 0.573033707865168 50 51: 10, 52: 10, 58: 8, 61: 10, 70: 8, 73: 18, 82: 8, 88: 8, 106: 9 70.6966292134831 2628 0.502666666666667 0.502666666666667 0.553475935828877 0.457142857142857 0.105764145954521 0.871131491597158 0.444444444444444 0.382022471910112 0.470588235294118 0.470588235294118 0.636363636363636 0.366666666666667 0.8 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_pda_10.rdata
mda Test Stats uni toc 0.536082474226804 50 53: 9, 54: 11, 55: 10, 56: 9, 57: 9, 58: 10, 59: 10, 60: 10, 65: 10, 67: 9 58.360824742268 2628 0.501705029838022 0.501705029838022 0.531116794543904 0.470588235294118 0.0627013098561305 0.371093369522698 0.512820512820513 0.474226804123711 0.434782608695652 0.434782608695652 0.627450980392157 0.434782608695652 0.666666666666667 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_mda_10.rdata
svmRadial Test Stats rfe toc 0.43298969072165 25 50: 10, 1447: 87 1302.9793814433 1438 0.499573742540494 0.499573742540494 0.423486786018755 0.285714285714286 -0.155512237383582 0.0590582290905369 0.354838709677419 0.474226804123711 0.239130434782609 0.239130434782609 0.607843137254902 1 0.176470588235294 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_svmRadial_10.rdata
glmnet Test Stats rfe rtx 0.584269662921348 25 50: 53, 1447: 36 615.078651685393 1438 0.499197860962567 0.499197860962567 0.483957219251337 0.0975609756097561 -0.0378190986448157 1.91675345566975e-05 0.285714285714286 0.382022471910112 0.0588235294117647 0.0588235294117647 0.909090909090909 1 0.0909090909090909 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_25/all_ml_nested_rf_10.rdata
rf Test Stats uni toc 0.525773195876289 50 51: 10, 52: 11, 58: 9, 59: 10, 60: 9, 61: 20, 64: 9, 65: 10, 68: 9 59.7113402061856 2628 0.498081841432225 0.498081841432225 0.523444160272805 0.488888888888889 0.0469884664673216 0.882783191152826 0.5 0.474226804123711 0.478260869565217 0.478260869565217 0.568627450980392 0.934782608695652 0.254901960784314 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_rf_10.rdata
svmPoly Test Stats rfe toc 0.484536082474227 30 50: 50, 1447: 47 726.896907216495 1438 0.494884910485934 0.494884910485934 0.481031543052003 0.431818181818182 -0.0380993150684932 0.671373240540873 0.452380952380952 0.474226804123711 0.41304347826087 0.41304347826087 0.549019607843137 0.91304347826087 0.235294117647059 /media/lvm1/R4RA_ML_outputs/input_1438/filter_size_30/all_ml_nested_svmPoly_10.rdata
pda Test Stats uni toc 0.525773195876289 50 51: 10, 53: 10, 54: 10, 56: 9, 58: 19, 60: 10, 61: 10, 62: 10, 64: 9 57.6494845360825 2628 0.481244671781756 0.481244671781756 0.52770673486786 0.530612244897959 0.0550614146548074 0.460994786425578 0.5 0.474226804123711 0.565217391304348 0.565217391304348 0.490196078431373 0.565217391304348 0.490196078431373 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9_ml_nested_pda_10.rdata
glmnet Test Stats rfe toc 0.45360824742268 50 50: 59, 2637: 38 1063.46391752577 2628 0.474850809889173 0.474850809889173 0.449488491048593 0.390804597701149 -0.101564173987572 0.582701982133948 0.414634146341463 0.474226804123711 0.369565217391304 0.369565217391304 0.529411764705882 0.239130434782609 0.823529411764706 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_50/all_visit9rfe_ml_nested_rf_10.rdata
svmPoly Test Stats rfe toc 0.43298969072165 100 100: 28, 2637: 69 1904.67010309278 2628 0.469309462915601 0.469309462915601 0.426683716965047 0.337349397590361 -0.148052506993759 0.280712665268496 0.378378378378378 0.474226804123711 0.304347826086957 0.304347826086957 0.549019607843137 0.847826086956522 0.235294117647059 /media/lvm1/R4RA_ML_outputs/input_2628/filter_size_100/all_visit9rfe_ml_nested_svmPoly_10.rdata